Hyperautomation - the move beyond RPA and AI
Published on : Saturday 06-06-2020
Hyperautomation is the advanced technological concept, based on the integration of artificial intelligence (AI), robotic process automation (RPA), machine learning (ML), and natural language processing (NLP). Also, it was mentioned as the leading disrupting concept in Gartner’s list of Top 10 Strategic Technology Trends 2020. The concept primarily amplifies the ability to automate work beyond the capability of RPA, AI, and ML.
Hyperautomation primarily leads and advances the operation capabilities of RPA in the initial, and later it expands automation capability with artificial intelligence (AI), process mining, analytics, and other advanced tools.??
The Implementation of Hyperautomation
As per Gartner’s Prediction in 2020, “the companies and organizations will lower the operational costs by 30% by combining hyperautomation technologies with redesigned operational processes in order the meet the demand for increased production capacity, product quality, and employee productivity”
In the industrial application of hyperautomation, the validation of automation through allows the integrated formation of a combination of RPA and disruptive technologies such as AI, ML, NLP, process mining, and decision management, and more can be used together in an end-to-end automation solution. Also, automating plants and operational areas assist to save valuable time for employees and enables them to focus on higher-value work initiatives.
Considering the future trends of hyperautomation, it is estimated that it will adopt to scale the sophisticated automation in the companies to enhance speed and efficiency. Also, it will also be expanding the development and the demand for new tools and technologies in order to extend the capability automation of the next generation of business processes and operational zones.
How is hyperautomation different from automation?
Automation optimizes simple task based on a robotic arm, while hyperautomation uses the combination of different allotropes of Artificial Intelligence (AI) such as natural language processing (NLP), optical character recognition (OCR), and machine learning (ML) to carry out any operations or production in any plant. Therefore, these technologies expand the automation possibilities in the end-use application sectors.
Reason to transition into hyperautomation?
Hyperautomation is based on the concept of integration of AI and RPA and further eliminates the limitation of individual IoT technologies along with it enables new horizons to solve complex problems. Today, every company can switch and move to hyperautomation with digital optimization in business operations. The companies already adopted automation can go further one-step to switch the new advanced concept of hyperautomation, where it creates development and investment opportunities for the buyers and AI & ML solution providers.
In conclusion, it is expected that, if the company switches to the hyperautomation concept, the company can lead to achieving world-class results in terms of better business operations, and the product performed well against the competitors in the market. This will enhance its adoption in the industries to move beyond automation in terms of RPA and AI.
